Title :
Particle swarm optimization to solving economic load dispatch with spinning reserve
Author :
Ma, Xin ; Liu, Yong
Author_Institution :
Sch. of Manage. & Economic, North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
Abstract :
A revised strategy particle swarm optimization algorithm is proposed to solve the economic dispatch problems in power systems. Many constraints such as ramp rate limits and prohibited zones are taken into account, and the loss is also calculated. On the basis of strategy particle swarm optimization algorithm, a new revised strategy is provided to handle the constraints and make sure the particles to satisfy the constraints. The strategy can guarantee the particles to search in or around the feasible solutions area combined with penalty functions. The various load demand and various reserve demand by payment for reserve allocated is also discussed in this paper.
Keywords :
load dispatching; particle swarm optimisation; power system economics; economic load dispatch; particle swarm optimization; power systems; prohibited zones; ramp rate limits; spinning reserve; Algorithm design and analysis; Constraint optimization; Cost function; Load modeling; Particle swarm optimization; Power generation; Power generation economics; Power system economics; Power system modeling; Spinning; economic load dispatch; particle swarm optimization algorithm; revise strategy; spinning reserve;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541218